econdatar-package: Automation of Data Tasks to and from Codera Analytics'...

econdatar-packageR Documentation

Automation of Data Tasks to and from Codera Analytics' Econometric Data Services

Description

Automation of data tasks to and from <https://codera.co.za> econometric data services. Using this package users can download data from <https://www.econdata.co.za> directly into R (in tidy format) after signing up for a free account. <https://www.econdata.co.za> hosts a comprehensive database of South African macroeconomic data. For support and tutorials please see <https://econdata.co.za>.

Details

This package provides an interface to Codera Analytics' econometric data service and the EconData database in particular.

EconData enables automation of analytical workflows that depend on public domain or third-party data. It is also a leading-edge forecast management system, enabling data and model automation and best practice data and model governance. EconData supports data-sharing across databases and within institutions, codifies modelling process flows and provides user-level access control. EconData makes it easy to securely manage and share model scenarios and forecast vintages.

The EconData Registry provides a central data glossary of data concepts and the information necessary to access and interpret data and associated metadata. The Registry can be queried through this package's read_registry function.

Codera also uses EconData to automate models, do research, and create value-added products such as interactive scenario dashboards. These dashboards and forecasts are made available to our clients.

Author(s)

Maintainer: Byron Botha <econdata@codera.co.za>

See Also

https://www.econdata.co.za https://econdata.co.za

Examples

## Not run: 
# library(econdatar)

# Return all data sets (useful for browsing available data)
CATALOGUE <- read_database(id = "all", tidy = TRUE)

# Mining production and sales
MINING <- read_dataset(id = "MINING", tidy = TRUE)

## End(Not run)

coderaanalytics/econdatar documentation built on Feb. 19, 2025, 10:37 p.m.